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Clark Glymour

Carnegie Mellon University

57H-index
434Paper Count
2.4WCitation Count
Published Papers 22
Publication Date
Inferring causation from time series in Earth system sciences
err2019-06-14
err508
errOAAI
errRunge, Jakob; Bathiany, Sebastian; Bollt, Erik; Camps-Valls, Gustau; Coumou, Dim; Deyle, Ethan; Glymour, Clark; Kretschmer, Marlene; Mahecha, Miguel D.; Munoz-Mari, Jordi; van Nes, Egbert H.; Peters, Jonas; Quax, Rick; Reichstein, Markus; Scheffer, Marten; Schoelkopf, Bernhard; Spirtes, Peter; Sugihara, George; Sun, Jie; Zhang, Kun; Zscheischler, Jakob
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Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods
err2019-01-01
err57
errOAAI
errSanchez-Romero, Ruben; Ramsey, Joseph D.; Zhang, Kun; Glymour, Madelyn R. K.; Huang, Biwei; Glymour, Clark
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Learning causality and causality-related learning: some recent progress
err2017-11-17
err57
errOAAI
errZhang, Kun; Schoelkopf, Bernhard; Spirtes, Peter; Glymour, Clark
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Reverse Inference in Neuropsychology
err2016-12-01
err17
PREAI
errGlymour, Clark; Hanson, Catherine
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Comorbid science?
err2010-06-29
err10
PREAI
errDanks, David; Fancsali, Stephen; Glymour, Clark; Scheines, Richard
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TETRAD - DISCOVERING CAUSAL-STRUCTURE
err2010-06-10
err11
PREAI
errGLYMOUR, C; SCHEINES, R; SPIRTES, P; KELLY, K
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Preschool children learn about causal structure from conditional interventions
err2007-04-17
err175
errOAAI
errSchulz, Laura E.; Gopnik, Alison; Glymour, Clark
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Optical coherence tomography machine learning classifiers for glaucoma detection: A preliminary study
err2005-11-01
err179
errOAAI
errBurgansky-Eliash, Z; Wollstein, G; Chu, TJ; Ramsey, JD; Glymour, C; Noecker, RJ; Ishikawa, H; Schuman, JS
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Evidence of systematic expressed sequence tag IMAGE clone cross-hybridization on cDNA microarrays
err2004-06-01
err12
errOAAI
errHandley, D; Serban, N; Peters, D; O'Doherty, R; Field, M; Wasserman, L; Spirtes, P; Scheines, R; Glymour, C
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A theory of causal learning in children: Causal maps and Bayes nets
err2004-01-01
err791
errOAAI
errGopnik, A; Glymour, C; Sobel, DM; Schulz, LE; Kushnir, T; Danks, D
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Using path diagrams as a structural equation modeling tool
err1998-11-01
err67
PREAI
errSpirtes, P; Richardson, T; Meek, C; Scheines, R; Glymour, C
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The TETRAD project: Constraint based aids to causal model specification
err1998-01-01
err136
PREAI
errScheines, R; Spirtes, P; Glymour, C; Meek, C; Richardson, T
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Reply to Comments
err1998-01-01
err5
PREAI
errScheines, R; Spirtes, P; Glymour, C; Meek, C; Richardson, T
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An evaluation of machine-learning methods for predicting pneumonia mortality
err1997-02-01
err129
PREAI
errCooper, GF; Aliferis, CF; Ambrosino, R; Aronis, J; Buchanan, BG; Caruana, R; Fine, MJ; Glymour, C; Gordon, G; Hanusa, BH; Janosky, JE; Meek, C; Mitchell, T; Richardson, T; Spirtes, P
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Statistical inference and data mining
err1996-11-01
err79
errOAAI
errGlymour, C; Madigan, D; Pregibon, D; Smyth, P
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